Your QlickiT MerchantPro applications will give you the performance information you need by customer, customer type, location, product group, product, geography, hierarchy, etc, as dashboards, reports, graphs and all with drill-down analytical capability that will delight you and help drive informed decision making and improved business performance.

Our consultants are recognised as "world class" Qlik practitioners. Having a QlickiT consultant involved early in your planning can ensure that you avoid costly re-work as your project progresses, ensuring you get the foundations right from day one.

Training & Other Services

Our trainers are all highly experienced Qlik practitioners. Indeed, we insist that training can only be done well by consultants with real life Qlik experience.

Qlik is an incredibly easy to use application and for some little training is required.

QlikView & BIG Data

Big Data’s value can be unleashed for business users by condensing it and intelligently presenting only what is relevant and contextual to the problem at hand. IT professionals are challenged with not only providing the infrastructure but also to help provide meaning to the Big Data.

QlikView allows you to consolidate relevant data from multiple sources, including Big Data repositories. You choose the method most relevant for you and your IT infrastructure.

QlikView Offers Choices. Big Data is a relative term and the data requirements of every organisation are different. QlikView offers two approaches to handling Big Data that both deliver the same great user experience. Switching between the two is a trivial task so customers are not locked into either approach.

Analyse Big Data with QlikView’s 100% In-Memory Architecture.

QlikView’s patented in-memory data engine compresses typical data by a factor of 10, meaning a single 256GB RAM server can load upwards of 2TB of uncompressed data. This represents billions of rows while offering response rates only possible with in-memory architectures.

Other QlikView features such as document chaining and binary load further accelerate the exploration of very large data sets. This is the path chosen by many QlikView customers to analyze terabytes of data stored in data warehouses or Hadoop clusters and similar repositories.

Invested in Big Data Infrastructure?

Meet QlikView Direct Discovery. For companies that have invested in a large data warehouse or other Big Data infrastructure and don’t want to load all data into the QlikView in-memory engine, QlikView Direct Discovery is a hybrid approach that leverages both in-memory data and data that is dynamically queried from an external source.

QlikView Direct Discovery allows users to query data from Big Data repositories on-the-fly, cache query results in memory for faster recall and maintain associations among all the data, regardless of where it is located.

This hybrid approach delivers several business user benefits, including the ability to tap into Big Data without knowledge of programming, adding meaning and context to Big Data and drill-down to granular details when necessary.